Mac17,9
Geekbench AI Score
20507
Single Precision Score
35612
Half Precision Score
34210
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 18 2026 08:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8798
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
13083
2.43 KIPS |
|
|
Image Classification (Q)
|
99% |
11915
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17973
291.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28872
468.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27575
447.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71322
83.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
185636
216.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
211018
247.3 IPS |
|
|
Object Detection (SP)
|
100% |
8487
673.2 IPS |
|
|
Object Detection (HP)
|
100% |
14626
1.16 KIPS |
|
|
Object Detection (Q)
|
94% |
13476
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
32677
388.3 IPS |
|
|
Face Detection (HP)
|
100% |
54554
648.2 IPS |
|
|
Face Detection (Q)
|
100% |
49066
583.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41756
321.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75035
578.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
70749
552.4 IPS |
|
|
Style Transfer (SP)
|
100% |
152989
196.7 IPS |
|
|
Style Transfer (HP)
|
100% |
337082
433.3 IPS |
|
|
Style Transfer (Q)
|
96% |
395429
510.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27160
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44391
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34880
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
7579
130.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9000
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8420
145.5 IPS |
